ThoughtRiver, a Cambridge-based legal AI pioneer focused on contract pre-screening, has been awarded £400,000 in funding from the Government’s Innovate UK agency for a project to develop a ‘thinking AI’. The resulting technology will enable increasingly sophisticated and higher-level questions about previously unseen contracts to be automatically answered, they said. This, they hope, ‘will make cutting edge AI technology available to a broader audience by enabling lay users to get answers to powerful questions without significant training or configuration effort‘.

From Apple's Machine Learning Journal Vol. 1, Issue 11 ∙ September 2018by Frameworks Natural Language Processing TeamEntering text on your iPhone, discovering news articles you might enjoy, finding out answers to questions you may have, and many other language-related tasks depend upon robust natural language processing (NLP) models. Word embeddings are a category of NLP models that mathematically map words to numerical vectors. This capability makes it fairly straightforward to find numerically similar vectors or vector clusters, then reverse the mapping to get relevant linguistic information. Such models are at the heart of familiar apps like News, search, Siri, keyboards, and Maps.

Gamalon’s (US) so-called “idea learning” platform is all about serving companies with “accurate, editable, and explainable” processing capabilities for inbound customer messages and other forms of unstructured data. The company said that its platform can now process natural language and then explain the ideas. “We’re creating an AI model by essentially just talking to it — and Gamalon is figuring out what ideas, and the structure of those ideas, are present, and then automatically creating a model that can then be used on new utterances and messages."

In order to facilitate further research into human action recognition, we have released AVA, coined from “atomic visual actions”, a new dataset that provides multiple action labels for each person in extended video sequences. AVA consists of URLs for publicly available videos from YouTube, annotated with a set of 80 atomic actions (e.g. “walk”, “kick (an object)”, “shake hands”) that are spatial-temporally localized, resulting in 57.6k video segments, 96k labeled humans performing actions, and a total of 210k action labels.

LT-Innovate's insight:

Facebook for one is truing to use images to teach robots words for things. Next may come words for actions.

A team of researchers from MIT's Center for Brains, Minds, and Machines (CBMM) and Computer Science and Artificial Intelligence Laboratory (CSAIL) have designed a study that seeks to answer some of these questions centered around language learning in young children. Enhancing the process known as a semantic parsing--which consists of converting language into a logical and measurable data form--it essentially employs deep learning algorithms to copy this process in children, achieving results only through observation.

PwC Germany and European tech company Cortical.io have signed a joint business relationship agreement whereby PwC becomes partner of Cortical.io and develops natural language understanding solutions using Cortical.io’s technology.Cortical.io has developed a unique natural language understanding technology that its says solves many challenges related to big text data. The novel, meaning-based algorithm is based on Cortical.io’s patented Semantic Folding methodology.

The semantic wave embraces four stages of internet growth. Web 1.0, was about connecting information and getting on the net. Web 2.0 is about connecting people — putting the “I” in user interface, and the “we” into webs of social participation. The next stage, Web 3.0, is starting now. It is about representing meanings, connecting knowledge, and putting these to work in ways that make our experience of internet more relevant, useful, and enjoyable. Web 4.0 will come later. It is about connecting intelligences in a ubiquitous web where both people and things reason and communicate together.

LT-Innovate's insight:

A paying report that sounds déjà vu., especially when there's no overt reference to AI in the marketing blurb.

Springer Nature is giving a boost to researchers with the launch of its new Springer Nature SciGraph. The new Linked Open Data (LOD) platform aggregates data sources from Springer Nature and cooperating partners, making it easier to analyze information related to Springer Nature publications.

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